Related Experiment Video
Updated: Jan 15, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
[THE LONG-TERM TRENDS OF MAIN MEDICAL DEMOGRAPHIC INDICATORS OF THE REPUBLIC OF TATARSTAN: THE METHODICAL APPROACH TO
R U Khabriev1, E N Mingazova1,2,3
1The Federal State Budget Scientific Institution The N A Semashko National Research Institute of Public Health of the Minobrnauka of Russia, 105064, Moscow, Russia.
Abstract:
The article presents dynamic indicators of the medical demographic process in the Republic of Tatarstan in 1990-2023: number of births and deaths per 1000 population, age-specific fertility rates and fertility rate prognosis, infant and maternal mortality, life expectancy, primary morbidity, genitourinary morbidity. The trends in this area are analyzed considering two periods: pre-COVID period (1990-2019) and COVID-19 pandemic and its consequences (2020-2023). The study of long-term trends in the field of demography has scientific and practical basis and can be applied in developing methods to evaluate population reproductive potential and to build prognostic estimates in demographic sphere. The obtained results and conclusions can be applied, expanded and specified as methodical apparatus for studying demographic processes at the regional level.
More Related Videos
09:00TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
Published on: April 13, 2021
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
Regression Toward the Mean
Applications of Life Tables
Longitudinal Research
Longitudinal Studies
Statistical Methods for Analyzing Epidemiological Data
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...